Focus Techniques for Data Scientists
Data science requires deep focus for data cleaning, analysis, model building, and interpretation. Separate exploration from production and protect your Jupyter notebook time.
timer90-120 min analysis blocks
checklistHow to Do It
- 1Separate data exploration from model development
- 2Use notebooks for exploration, scripts for production
- 3Block 2-hour sessions for uninterrupted data analysis
- 4Batch stakeholder meetings and presentations
- 5Document your findings as you go, not at the end
- 6Use version control for all notebooks and models
groupBest For
- checkData scientists and analysts
- checkMachine learning engineers
- checkBusiness intelligence professionals
data scienceanalysismachine learningcoding
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